CNN Based Severity Prediction of Bug Reports
Author:
Affiliation:
1. Sabaragamuwa University of Sri Lanka,Department of Computing and Information Systems,Belihuloya,Sri Lanka
2. Uva Wellassa University of Sri Lanka,Department of Computer Science and Informatics,Sri Lanka
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9832967/9833023/09833043.pdf?arnumber=9833043
Reference22 articles.
1. A deep-learning-based bug priority prediction using RNN-LSTM neural networks;bani-salameh,2021
2. An improved classifier based on entropy and deep learning for bug priority prediction;kumari;Advances in Intelligent Systems and Computing,2020
3. A Novel Deep-Learning-Based Bug Severity Classification Technique Using Convolutional Neural Networks and Random Forest with Boosting
4. Bug severity classification using semantic feature with convolution neural network;chauhan;Advances in Intelligent Systems and Computing,2020
5. Automated severity assessment of software defect reports
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Software Bug Severity Prediction Using Convolutional Neural Network and BiLSTM Models;Lecture Notes on Data Engineering and Communications Technologies;2024
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